Principles and Applications of Dimensional Analysis and Similarity, 1st ed. 2021 Mathematical Engineering Series

The first four chapters address the definitions, with few dimensional analysis theorems and similarity criteria. There is also the analysis of self-similarity, both of first and second kind, with a couple of completely solved problems, framed within the group theory. From chapter 5 onward, the focus is on applications in some of the engineering sectors. The number of topics is necessarily limited, but, almost always, there are details, calculations and treatment of assumptions. The book contains descriptions of some of the experimental apparatuses currently used for the realisation of physical models, such as the wind tunnel, the shaking table, the centrifuge, and with the exclusion of many others, which can be found in specialist monographies. Measurement techniques and instrumentation and statistical data processing is also available in other books.

Some more specific notions, required by the context, are reported in the appendix, where appears also the description of numerous dimensionless groups, all of engineering interest, but with the exclusion of many others related to physical processes of electrical nature or physics of particles. A glossary lists the meaning of some specific terms typical of dimensional analysis and used in the book.

Brings to light the axioms and fundamental postulates of science, revitalising the conventions and clarifying the conceptual schemes that have allowed the evolution of scientific disciplines as they are currently practised

Targets researchers and graduate students in engineering and physical sciences, as well as researchers interested in a clarification of the methodology, of dimensional analysis and theory of similarity aims and purposes

Includes a chapter-end glossary listing the meaning of specific terms typical of dimensional